Computing at LLNL
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At a Glance

Discovery science and technical innovation

Computing at LLNL advances scientific discovery through foundational and innovative research; mission-driven data science; complex modeling, simulation, and analysis on powerful supercomputers; and creative technologies and software solutions. Everything at Livermore is Team Science. Thus, Computing is at the heart of many of LLNL’s most compelling national security and scientific efforts:

  • Operating one of the world’s largest HPC data centers
  • Deploying research and supercomputers to mitigate COVID-19
  • Preparing for one of the nation’s first exascale-class computers
  • Providing essential IT expertise across LLNL
  • Running one of the world’s largest control systems at NIF
  • Advancing cancer research and treatment
  • Designing AI and machine learning algorithms for science-based pattern discovery

Focus Areas

Computational Math

Powering scientific codes with advanced algebraic methods, algorithms, solvers, and discretizations

Computational Science

Supporting the Lab’s mission-driven programs with scientific modeling and simulation

Cyber Security

Meeting the nation’s top priorities to enhance security in a highly interconnected world

Data Science

Advancing AI, data analytics, machine learning, predictive modeling, statistics, UQ, and more

Emerging Architectures

Innovating in new directions for next-generation hardware designs and platform integrations

HPC Systems & Software

Providing environments, tools, and expertise for vital national security research and development

Information Technology

Meeting the Lab’s computer technology needs every day with enterprise applications and services

Software Engineering

Applying best practices to maximize the efficiency of software development and deployment

News

two interns work at their laptops


Source: YouTube

Video: Ready for your LLNL internship?

Every year, LLNL welcomes hundreds of interns for an experiential, hands-on approach to learning. Working with some of the brightest minds in their fields, our interns have the opportunity to explore new projects, build their skills, connect with mentors, and integrate into Lab culture.

Careers | Students

closeup of a metal structure


Source: R&D World

R&D 100 winners for 2023 are announced

LLNL's zfp and Variorum software projects are winners. LLNL is a co-developing organization on the winning CANDLE project.

Awards | Data Compression | Data Science | HPC Systems and Software | Open-Source Software | Performance, Portability, and Productivity | Power Management

Tammy and Jeff hold their awards


Source: National Ignition Facility

LLNL Corones Award winners celebrated

LLNL physicist Tammy Ma and computational scientist Jeff Hittinger were recently celebrated for winning the Krell Institute’s James Corones Award in Leadership, Community Building, and Communication.

Awards | Careers

Highlights

Featured Employee
Kohn family of three

Scott Kohn

An LLNL Distinguished Member of Technical Staff, Scott Kohn supports LLNL’s cyber security research program. He joined the Lab in 1997 as one of the first external hires into CASC, Computing’s…

Featured Project
TFinity Archival Storage System

HPSS

Livermore’s archive leverages a hierarchical storage management application that runs on a cluster architecture that is user-friendly, extremely scalable, and lightning fast.

Featured Job
Computing Scholar logo

Apply Now for Internships

The application window is now open for Fall 2023 and Spring/Summer 2024 internships. We invite undergraduate and graduate students to apply today for Computing Scholars, the HPC Cluster Engineer Academy, and the DevOps Internship Team.

Careers

Team stands in front of HPC

We offer a promising future of discovery science and technical innovation

From software developers and applied math researchers to hardware architects and networking experts, computing at LLNL requires a top-flight workforce with a broad skill set. Check out our internship pages or visit LLNL's careers site to see how you can be a part of the future.